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METHOD AND DEVICE FOR SCHEDULING PERSONNEL ARRANGEMENT, AND RECORDING MEDIUM RECORDING PERSONNEL ARRANGEMENT SCHEDULING PROGRAM

机译:安排人员安排,记录中型人员安排安排程序的方法和装置

摘要

PROBLEM TO BE SOLVED: To reduce the personnel cost as a whole while the quality of service is maintained by calculating the lack degree and the excess degree of personnel and calculating an evaluation value which changes in accordance with the number of repetition times of genetic algorithm. ;SOLUTION: The set of the initial values of solutions generated in an initial individual group generation part 2 is set to be an initial individual group (element on the service of respective personnel). An evaluation value calculation part 3 calculates the lack degree and the excess degree of the personnel, and calculates an evaluation value which changes in accordance with the number of repetition times so that the lack degree and the excess degree in the initial stage of the repetition of genetic algorithm are equally made much of and the lack degree is gradually made much of as repetition is advanced. A mutation processing part 6 executes mutation on an individual after intersection and an individual group change part 7 exchanges an individual whose evaluation value is the lowest in the individual group with the individual on which mutation is repetitively executed and whose evaluation value is higher than the individual. An output part 8 outputs the individual whose quality is the best in the individual group as a final result.;COPYRIGHT: (C)2000,JPO
机译:要解决的问题:通过计算人员的缺乏程度和过剩程度,并计算随遗传算法重复次数而变化的评估值,从而在维持服务质量的同时总体上降低人员成本。 ;解决方案:在初始个人组生成部分2中生成的解的初始值集被设置为初始个人组(基于相应人员的服务)。评估值计算部3计算人员的缺乏程度和过剩程度,并且计算根据重复次数而变化的评估值,以使得在重复的初始阶段中的缺乏程度和过剩程度。随着重复的进行,遗传算法也变得同样重要,而缺乏程度则逐渐变得更多。变异处理部分6在相交之后对个体执行变异,并且个体组改变部分7与重复执行变异且其评估值高于该个体的个体交换个体值在该个体组中最低的个体。 。输出部分8输出质量最好的个人作为个人,作为最终结果。版权所有:(C)2000,JPO

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